MailCaff Update > bounce webhook integration

Did some work on the bounce webhook stuff today.

Integrating with different providers like Instantly, SendGrid, and Mailgun.

It's pretty cool how these bounces feed into the learning model.

Every failed delivery tells me something new.

Like a little clue on why certain patterns don’t work or why a specific domain might be dodgy.

These signals keep making the model smarter.

Helps in refining the catch all domain scoring too.

The bounce data kind of acts like a feedback loop.

It nudges the prediction model to adapt and improve, especially with weird patterns or common traps.

I think the key here is how this data gets re used in email verification and finding.

It’s all interconnected.

Knowing when an email bounces back informs pattern adjustments.

Or even helps identify domains that might go stale or get flagged as spam traps over time.

Been tweaking the way these bounces are logged and fed back into the system.

Trying to make it more real time and less dependent on manual checks.

Anyone else tie bounce data into their systems like this?

Curious how others handle it or if there's a different angle I haven't considered yet.

MailCaff.com is a affordable solution to finding and verifying emails.

There are still some pilot spots available with 10.000 free credits, DM me if you are interested.

2 comments

skool.com/ai-automation-society

A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.

Leaderboard (30-day)

🔥

+3604

+1407

🔥

+1306

+794

🔥

+614